International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Review of Machine Learning Models for Application in Adaptive Learning for Higher Education Student

Author(s) Semen M. Levin
Country Russia
Abstract The article reviews machine learning models and their application in the context of adaptive learning. The main focus is on the capabilities of adapting models for personalizing the educational process. The article also highlights issues related to the limitations of integrating machine learning into educational systems, including the problems of requiring large datasets and the need for specialized resources. Furthermore, it discusses the challenges in integrating and standardizing these technologies into existing educational systems and considers probable directions for future research. The problems of developing and implementing the technologies described in the article in higher education systems are noted.
Keywords machine learning, adaptive learning, machine learning models, learning management systems, individual-oriented learning, educational technologies, personalized education, educational data analysis, predictive modeling in education, student performance prediction, learning analytics, artificial intelligence in education
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 6, Issue 2, March-April 2024
Published On 2024-03-23
Cite This Review of Machine Learning Models for Application in Adaptive Learning for Higher Education Student - Semen M. Levin - IJFMR Volume 6, Issue 2, March-April 2024. DOI 10.36948/ijfmr.2024.v06i02.15481
DOI https://doi.org/10.36948/ijfmr.2024.v06i02.15481
Short DOI https://doi.org/gtn3wz
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